This presentation was created by Ben Allen, Anthony Cai, Rohit Jha, Daniel Prasca, and Ivan Paredes.
COVID-19 case data: Centers for Disease Control and Prevention, COVID-19 Response. COVID-19 Case Surveillance Public Use Data with Geography (version date: April 04, 2022)
COVID-19 tweet data: Gupta, Raj, Vishwanath, Ajay, and Yang, Yinping. COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-11-04. https://doi.org/10.3886/E120321V11
Life Expectancy: National Center for Health Statistics. U.S. Life Expectancy at Birth by State and Census Tract - 2010-2015. Date accessed [4/20/22]. Available from https://data.cdc.gov/d/5h56-n989.
Hypertension: Centers for Disease Control and Prevention, Division for Heart Disease and Stroke Prevention
State Population Totals: Population, Population Change, and Estimated Components of Population Change: April 1, 2010 to July 1, 2019 (NST-EST2019-alldata)
Our group has decided to translate large COVID-19 data sets into visual illustrations to help depict the larger effects of COVID-19 on our society’s health and its prevalence among social media platforms.
Briefly, our primary dataset includes COVID-19 positive-case counts by age group, sex, race, and geography.
Our secondary dataset includes Twitter user data with tweets that contain COVID-19 related keywords.
Graphs and figures were generated using the R language for graphing and SQLite for large database manipulations.